mikropml (version 1.6.1)

get_tuning_grid: Generate the tuning grid for tuning hyperparameters

Description

Generate the tuning grid for tuning hyperparameters

Usage

get_tuning_grid(hyperparams_list, method)

Value

The tuning grid.

Arguments

hyperparams_list

Named list of lists of hyperparameters.

method

ML method. Options: c("glmnet", "rf", "rpart2", "svmRadial", "xgbTree").

• glmnet: linear, logistic, or multiclass regression

• rf: random forest

• rpart2: decision tree

• svmRadial: support vector machine

• xgbTree: xgboost

Author

Begüm Topçuoğlu,

Kelly Sovacool,

Examples

ml_method <- "glmnet"
hparams_list <- get_hyperparams_list(otu_small, ml_method)
get_tuning_grid(hparams_list, ml_method)